High-degree compression functions on alternative models of elliptic curves and their applications
Micha{\l} Wro\'nski, Tomasz Kijko, Robert Dry{\l}o

TL;DR
This paper develops high-degree compression functions for elliptic curve models using symmetries, introduces new functions, and analyzes their efficiency and applicability, especially in models with points of order 2, 3, and 4.
Contribution
It presents novel high-degree compression functions based on symmetries in alternative elliptic curve models and provides formulas and computational methods for their use.
Findings
New compression functions for specific elliptic curve models.
Differential addition and doubling formulas are derived for these functions.
Efficiency comparable to Montgomery curves is achieved under certain conditions.
Abstract
This paper presents method for obtaining high-degree compression functions using natural symmetries in a given model of an elliptic curve. Such symmetries may be found using symmetry of involution and symmetry of translation morphism , where is the -torsion point which naturally belongs to the for a given elliptic curve model. We will study alternative models of elliptic curves with points of order and , and specifically Huff's curves and the Hessian family of elliptic curves (like Hessian, twisted Hessian and generalized Hessian curves) with a point of order . We bring up some known compression functions on those models and present new ones as well. For (almost) every presented compression function, differential addition and point doubling formulas are shown. As in the case of high-degree compression functions manual investigation of…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
